{"id":"W2902078840","doi":"10.1128/jcm.01338-18","title":"A Novel Sensitive Immunoassay Targeting the 5-Methylthio- <scp>d</scp> -Xylofuranose–Lipoarabinomannan Epitope Meets the WHO's Performance Target for Tuberculosis Diagnosis","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"ImmunoPrecise (Canada); Alberta Glycomics Centre; University of Alberta","funders":"National Institutes of Health; Ministerie van Buitenlandse Zaken; Global Health Innovative Technology Fund; Alberta Glycomics Centre; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation","keywords":"Lipoarabinomannan; Epitope; Mycobacterium tuberculosis; Tuberculosis; Immunoassay; Medicine; Sputum; Antibody; Antigen; Urine; Virology; Immunology; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01409252,0.0003874656,0.001784684,0.0001753814,0.0006004657,0.00003854952,0.0007833544,0.0006413647,0.00006949937],"category_scores_gemma":[0.05006054,0.0001892815,0.001237039,0.0003398309,0.00202728,0.0001606031,0.000277324,0.001917992,0.00008642943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009366352,"about_ca_system_score_gemma":0.0004233653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000519937,"about_ca_topic_score_gemma":0.00002388868,"domain_scores_codex":[0.9935213,0.00186253,0.002765476,0.0005213144,0.0001969649,0.001132462],"domain_scores_gemma":[0.9672604,0.02837935,0.001529956,0.0006241806,0.001833239,0.0003728985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002872193,0.001349315,0.1286301,0.0001804634,0.004206497,0.00005395929,0.001581769,0.00004596276,0.2956905,0.000318489,0.5262654,0.03880535],"study_design_scores_gemma":[0.004358775,0.01011816,0.1542397,0.0003452829,0.0005508945,0.001998173,0.0007056004,0.000765597,0.03255787,0.0001536573,0.7940224,0.0001838766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244227,0.002594401,0.000760249,0.06881917,0.001999533,0.0008808878,0.00008216369,0.00002054417,0.0004202873],"genre_scores_gemma":[0.9698153,0.005947287,0.005327896,0.01319662,0.005188966,0.00006776551,0.00002868531,0.00005548303,0.0003720403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.267757,"threshold_uncertainty_score":0.9579412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04972153259967607,"score_gpt":0.3749028503457262,"score_spread":0.3251813177460501,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}